The following pages link to (Q3426706):
Displaying 50 items.
- Zero variance Markov chain Monte Carlo for Bayesian estimators (Q91280) (← links)
- Using genetic data to estimate diffusion rates in heterogeneous landscapes (Q304044) (← links)
- Priors for Bayesian adaptive spline smoothing (Q421435) (← links)
- Multiple hypothesis testing and clustering with mixtures of non-central \(t\)-distributions applied in microarray data analysis (Q434973) (← links)
- A study of variable selection using \(g\)-prior distribution with ridge parameter (Q434980) (← links)
- Statistical inference of regulatory networks for circadian regulation (Q461673) (← links)
- Accelerating a Gibbs sampler for variable selection on genomics data with summarization and variable pre-selection combining an array DBMS and R (Q506436) (← links)
- Importance sampling schemes for evidence approximation in mixture models (Q516488) (← links)
- Bayesian hybrid generative discriminative learning based on finite Liouville mixture models (Q632614) (← links)
- A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data (Q635417) (← links)
- A hierarchical Bayesian approach to record linkage and population size problems (Q641103) (← links)
- Bayesian analysis of skew-normal independent linear mixed models with heterogeneity in the random-effects population (Q643390) (← links)
- Free energy methods for Bayesian inference: efficient exploration of univariate Gaussian mixture posteriors (Q693322) (← links)
- A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations (Q830465) (← links)
- Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions (Q830541) (← links)
- Marginal posterior simulation via higher-order tail area approximations (Q899009) (← links)
- Informative \(g\)-priors for logistic regression (Q899042) (← links)
- A flexible extreme value mixture model (Q901607) (← links)
- Harold Jeffreys's \textit{Theory of probability} revisited (Q903267) (← links)
- Reversible jump MCMC in mixtures of normal distributions with the same component means (Q961211) (← links)
- On variance stabilisation in population Monte Carlo by double Rao-Blackwellisation (Q962307) (← links)
- Allowing for the effect of data binning in a Bayesian normal mixture model (Q962340) (← links)
- Considering endogeneity for optimal catalog allocation in direct marketing (Q976429) (← links)
- A Bayesian semiparametric regression model for reliability data using effective age (Q1623436) (← links)
- A hierarchical Bayesian approach for examining heterogeneity in choice decisions (Q1645038) (← links)
- Income inequality decomposition using a finite mixture of log-normal distributions: a Bayesian approach (Q1659172) (← links)
- Approximate Bayesian inference in semi-mechanistic models (Q1703816) (← links)
- Relabelling in Bayesian mixture models by pivotal units (Q1704029) (← links)
- Default priors for the intercept parameter in logistic regressions (Q1727911) (← links)
- Bayesian variable selection in linear regression (Q1733296) (← links)
- Bayesian variable selection in generalized linear models using a combination of stochastic optimization methods (Q1926754) (← links)
- Estimating discrete Markov models from various incomplete data schemes (Q1927036) (← links)
- PAC-Bayesian estimation and prediction in sparse additive models (Q1951111) (← links)
- PAC-Bayesian bounds for sparse regression estimation with exponential weights (Q1952177) (← links)
- Bayesian parameter estimation for the Swift model of eye-movement control during reading (Q2177484) (← links)
- Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework (Q2184398) (← links)
- Variance reduction for Markov chains with application to MCMC (Q2195839) (← links)
- New insights into approximate Bayesian computation (Q2261604) (← links)
- Estimation of Viterbi path in Bayesian hidden Markov models (Q2272469) (← links)
- Bayesian cylindrical data modeling using Abe-Ley mixtures (Q2307289) (← links)
- Objective Bayesian higher-order asymptotics in models with nuisance parameters (Q2361225) (← links)
- Structured regularization for conditional Gaussian graphical models (Q2361457) (← links)
- Optimal design of dilution experiments under volume constraints (Q2363722) (← links)
- Finite mixture biclustering of discrete type multivariate data (Q2418086) (← links)
- A vanilla Rao-Blackwellization of Metropolis-Hastings algorithms (Q2429930) (← links)
- High-dimensional Bayesian parameter estimation: case study for a model of JAK2/STAT5 signaling (Q2437732) (← links)
- New approaches to compute Bayes factor in finite mixture models (Q2445786) (← links)
- Bayesian Essentials with R (Q2849649) (← links)
- Bayesian Inference for the Jump-Diffusion Model with<i>M</i>Jumps (Q2931585) (← links)
- Essential Bayesian models. (Q3065607) (← links)
